Questions like this are a symptom of not truly understanding the difference between classification and regression and what accuracy is trying to measure. In this tutorial, you will discover the differences between classification and regression. After completing this tutorial, you will know: That predict...
We present an extensive study to build classification and regression models using five different ADMET data sets (HIA, LogP, LogS, BBB, and two toxicological data sets causing cancer in rats and mice). We compare especially the relevance of vector based coding for molecules using descriptors and...
What is the difference between classification and regression? What is a classification algorithm? What is unsupervised classification? What is rule-based classification? What is classification in big data? What is classification in machine learning?
For example, from regression learner app, I selected ensemble boosted tree. The results were similar to the fitrensemble fuction when I used 'OptimizeHyperparameters','auto'. Now, I have this question in my mind, what is the difference between these two m...
Classification and Regressionare Supervised Machine Learning algorithms. Classification is used to classify a record. One simple example is “whether the temperature is cold”. The answer can be either “yes” or “no”. There is a specific number of choices to classify. If there are two choice...
I think it really depends on your problem though which method to prefer. I can’t find a reference now, but e.g. in classification, naive Bayes converges quicker but has typically a higher error than logistic regression. On small datasets you’d might want to try out naive Bayes, but as...
As an important part of urban public open space, pocket parks have become an important activity place for the elderly in the context of the aging society in China. With the pocket parks in Nanjing, Jiangsu province, China as research object, this paper s
Time, time difference and the ordering of the data is not a consideration in regression and classification. I cannot be anymore clear than that. Take a close look at the documentation HELP and DOC examples. Then take a look at my posts in the NEWSREA...
This type of classification can be important to know in order to choose the correct type of statistical analysis. For example, the choice betweenregression(quantitative X) andANOVA(qualitative X) is based on knowing this type of classification for the X variable(s) in your analysis. ...
Support Vector Machines (SVM) is a supervised learning algorithm used for classification and regression tasks. It identifies an optimal hyperplane that separates data points into distinct classes, while simultaneously maximizing the margin between these classes. Notably, SVM exhibits versatility in handling...